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Cyber-Physical Systems Security

Overview of attention for book
Cover of 'Cyber-Physical Systems Security'

Table of Contents

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    Book Overview
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    Chapter 1 Robust Digital Computation in the Physical World
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    Chapter 2 Constraint-Based Framework for Reasoning with Differential Equations
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    Chapter 3 Approximate Computing and Its Application to Hardware Security
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    Chapter 4 Mathematical Optimizations for Deep Learning
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    Chapter 5 A Zero-Entry Cyber Range Environment for Future Learning Ecosystems
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    Chapter 6 Parallel Programming in Cyber-Physical Systems
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    Chapter 7 Automatic Application of Software Countermeasures Against Physical Attacks
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    Chapter 8 Time-Delay Attacks in Network Systems
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    Chapter 9 Attack Tree Construction and Its Application to the Connected Vehicle
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    Chapter 10 Reinforcement Learning and Trustworthy Autonomy
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    Chapter 11 Identifier Randomization: An Efficient Protection Against CAN-Bus Attacks
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    Chapter 12 Public Key-Based Lightweight Swarm Authentication
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    Chapter 13 Physical Security Versus Masking Schemes
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    Chapter 14 Embedded Classifiers for Energy-Constrained IoT Network Security
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    Chapter 15 Challenges in Cyber Security: Ransomware Phenomenon
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    Chapter 16 Applying Model-Based Situational Awareness and Augmented Reality to Next-Generation Physical Security Systems
Attention for Chapter 4: Mathematical Optimizations for Deep Learning
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Citations

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3 Mendeley
Summary Dimensions citations
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Chapter title
Mathematical Optimizations for Deep Learning
Chapter number 4
Book title
Cyber-Physical Systems Security
Published by
Springer, Cham, December 2018
DOI 10.1007/978-3-319-98935-8_4
Book ISBNs
978-3-31-998934-1, 978-3-31-998935-8
Authors

Sam Green, Craig M. Vineyard, Çetin Kaya Koç, Green, Sam, Vineyard, Craig M., Koç, Çetin Kaya

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Other 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Engineering 2 67%
Mathematics 1 33%

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